* Turn on IE and NG python APIs by default inside Model Optimizer
* Remove fallback
* Fix mo_ut
* Remove MO wheel tests
* Add model_optimizer custom target to gather all MO deps inside single traget
* Fix PR comments
* enable make clean to remove ie_wheel artifacts
* ./setup.py:132:1: E302 expected 2 blank lines
* fix CI build issue
* Removed not-needed components from ie_wheel
* Use explicit python3 vresion in ngraph pythpn
* Use python3 everywhere
* Reuse python3 more
* Added function to build with Py_LIMITED_API
* Sync 2 cmake python modules
* Fix for tools
* Fixed typo
* Enable python by default
* Enable python build iff python-dev is found
* More migration to Python3_VERSION
* Install wheel requirements
* Fixed ngraph Python separate build
* Fixed cython compilation
* Revert to old packages
* Added suffix
* Specify python version explicitly
* Don't depend on python interp to build python itself
* More improvements
* Revert offline transformations back to ie_wheel
* Refactoring
* Trying to build wheel independently on C++ runtime
* Build wheel only with main OpenVINO
* Fixed typo in test_utils cmake lists
* Adding link stage
* small fix
* git diff
* Try to fix python tests
Co-authored-by: Sergey Lyubimtsev <sergey.lyubimtsev@intel.com>
* enable make clean to remove ie_wheel artifacts
* ./setup.py:132:1: E302 expected 2 blank lines
* fix CI build issue
* set ouput dir for whl file to CMAKE_BINARY_DIR
* cleanup
* blank line
* Upload python speech sample draft
* Add function doc strings
* Add the ability to save results to a file
* Add a plugin configuration for GNA to get better accuracy
* Add errors calculation (comparison with a reference)
* Fix flake8 issues
* Add ability to run in hetero mode
* Add ability to load and save numpy format files (.npz)
* Add an error for wrong file extensions & update help message
* Add import and export GNA model options
* Add -we option to export embedded gna model
* Add readme
* Add -oname command line option (Layer names for output blobs)
* Add -iname command line option (Layer names for input blobs)
* Add info about -iname option to README.md
* doc: update readme, fix style
* Add a state reset between inferences
* add reset API to speech README
* doc: remove extra output from README
* remove onnx and TODO, format output
* Add an else branch to the if statement that checks a utterance data type
* Add dummy data for inference if a number of vectors < batch size
* Split the sample into separte files
Co-authored-by: Kate Generalova <kate.generalova@intel.com>
* [Python API] Add MemoryState API
* use inferRequest instead of IInferRequest
* implement VariableState through cpp
* small fixes + add tests for preprocess_info
* align pypi deps of benchmark, cross check tool, python API
* move cython from python API requirements to requirements-dev
* change requirements to >= for most packages
* update requirements
* set pinned numpy major version in wheel requirements
* set more strict pip requirements-dev in wheel
* change scikit-image version to 0.17
* Execute MO stages inside subprocess to have single IE check
* Add --transform key
* Updated ofline transformations to execute user specified passes; updated logic to raise when --transform is used
* Parametrize LowLatency transformation with num_iterations key
* Fixed MO and IE versions comparision
* Use subprocess for offline transformations execution to catch errors
* remove ie_is_available from IR; fixed typo
* Fix for old IE versions
* Update parse_transform key unit tests
* Show available transformations
* Fixed typo
* Fix review comments
* Fix python2 compatibility
* Fixed review comments
* Fixed __main__ import
* Added info on DockerHub CI Framework
* Feature/azaytsev/change layout (#3295)
* Changes according to feedback comments
* Replaced @ref's with html links
* Fixed links, added a title page for installing from repos and images, fixed formatting issues
* Added links
* minor fix
* Added DL Streamer to the list of components installed by default
* Link fixes
* Link fixes
* ovms doc fix (#2988)
* added OpenVINO Model Server
* ovms doc fixes
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
* Updated openvino_docs.xml
* Edits to MO
Per findings spreadsheet
* macOS changes
per issue spreadsheet
* Fixes from review spreadsheet
Mostly IE_DG fixes
* Consistency changes
* Make doc fixes from last round of review
* integrate changes from baychub/master
* Update Intro.md
* Update Cutting_Model.md
* Update Cutting_Model.md
* Fixed link to Customize_Model_Optimizer.md
Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
Co-authored-by: baychub <cbay@yahoo.com>
* Use Serialization as a default engine in MO
* Added cmd option to use old serialization
* Added mapping file generation
* Test mapping file generation
* Fix setBatchsize parameters order; fix mapping file generation
* Added FrameworkNode; added method to read models with custom ops but without extensions
* Added python API for read_network_without_extensions function; updated mo not to use IECore
* Added read_model_without_extensions to IReader and IParser
* Fix V7 IR reader
* Fix pword value
* Fix dllexport macro usage
* Add metainfo to IR
* Fix nGraph code style
* Fix license header
* Restore prepare_emit_ir behaviour
* Fix compare_function to resolve situation when Result input port has multiple names
* Update Compare Functions
* Fix FrameworkNode validation
* Self-review
* CodeStyle check
* --use_fallback -> --use_legacy_ir_generation
* Sort imports in main.py
* --path_to_model -> --input_model
* Use logging instead of print
* Code simplifucation&cleanup
* Fix offline_Transformations key
* Fix GeneraeMappingFile comments
* Use Extension approach to work with custom ops
* Fix versions check
* Code clean-up
* Moved FrameworkNode to inference_engine_transformations library
* Fix FrameworkNode includes
* Code clean-up
* enable make install for openvino/tools folder
* fix component name
* use python_tools as component name
* update ie_cpack_add_component name
* enable CPack for python tools
* use find_package(PythonInterp)
* Fix deepcopy
* Add test
* Revert dtype for BF16 precision
* Fix test
* Add exception for BF16
* Update BlobBuffer dtype for FP16 precision
* Revert exception for BF16
* Update test
* Removed suppressions for IInferRequest deprecation
* Fixed Windows
* More fixes for Windows
* Fixed compilation on Windows
* Fixed comment in documentatipn
* Fixes for Andorid
* Fixes for old gcc 4.8
* WA for cross-compilations
* Fixed compilation
* Fixed HETERO plugin compilation for old compilers
* Flags
Co-authored-by: lab_ddpqa <lab_ddpqa@intel.com>
* Update readme of python samples
* Add info about ubyte image support to ngraph function creation sample readme
* Move lang after sample name
* Update sample output sections
* Remove API used in the hello classification sample from other sample readme's
* Update sample readme files to resolve conversations
* Add a note about color inversion
* Fix the wrong link to shape inference feature
* Update sample output for the hello query device sample
* refactor: update ie python samples
* python samples: change comment about infer request creation (step 5)
* python sample: add the ability to run object_detection_sample_ssd.py with a model with 2 outputs
* Add batch size usage to python style transfer sample
* Change comment about model reading
* Add output queue to classification async sample
* add reshape for output to catch results with more than 2 dimensions (classification samples)
* Set a log output stream to stdout to pass the hello query device test
* Add comments to the hello query device sample
* Set sys.stdout as a logging stream for all python IE samples
* Add batch size usage to ngraph_function_creation_sample
* Return the ability to read an image from a ubyte file
* Add few comments and function docstrings
* Restore IE python classification samples output
* Add --original_size arg for python style transfer sample
* Change log message to pass tests (object detection ie python sample)
* Return python shebang
* Add comment about a probs array sorting using np.argsort
* Fix the hello query python sample (Ticket: 52937)
* Add color inversion for light images for correct predictions
* Add few log messages to the python device query sample
Gleb Kazantaev